Tableau

SEPTEMBER 23, 2021

No single source of truth: There may be multiple versions or variations of similar data sets, but which is the trustworthy data set users should default to? Missing data definitions and formulas: People need to understand exactly what the data represents, in the context of the business, to use it effectively.

Data Governance 101

Data Governance Government Data Quality Change Management 101

Tableau

SEPTEMBER 23, 2021

No single source of truth: There may be multiple versions or variations of similar data sets, but which is the trustworthy data set users should default to? Missing data definitions and formulas: People need to understand exactly what the data represents, in the context of the business, to use it effectively.

Data Governance 97

Data Governance Government Data Quality Change Management 97

Astera

DECEMBER 2, 2022

Reasons to Migrate Healthcare Data: There are various reasons why organizations seek a data migration solution. Modernizing Data Systems: Data architecture modernization is the most common reason for data migration. Stage 2: Cleansing Data. Stage 3: Structuring Data.

Healthcare 52

Healthcare Documentation Data Quality Data Architecture 52

Astera

APRIL 24, 2024

A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Data analysts in one organization might be called data scientists or statisticians in another. Database design is often an important part of the business analyst role.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Astera

MAY 22, 2024

Building a solid data governance framework involves several key pillars. These pillars include; establishing data quality standards, integrating data from various sources, prioritizing data privacy and security, and defining a clear data architecture.

Data Governance 52

Data Governance Government Data Discovery Data Security 52

Astera

JUNE 4, 2024

Lineage Tracking to Understand Data Origin and Flow A data catalog tracks the origin of each data set, its transformations, and its flow throughout various systems. This feature is valuable for understanding data dependencies and ensuring data quality across the entire data lifecycle.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52